Mírian Silva's Projects
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
Notes, references and materials on AI Fairness that I found useful and helped me in my academic research.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Page made for Black in AI Workshop 2020. @blackinai
Software Engineering Project: Simulation for a police precinct vehicle management.
Call for Code Hackathon is a challenge that aims to create scalable solutions to mitigate the impact of COVID-19 or climate change using IBM Cloud solutions and services. This solution is about climate change, we call it the FoodLoop.
Solved problems of competitions and code challenges. Submitted and accepted in online judges: HackerRank, Lettcode, URI, Codeforces, SPOJ.
College assignment of the disciplines of Algorithms and Data Structures (AEDS). Federal University of Minas Gerais
Data Science & Machine Learning Books that people should read. Currently my personal reading list.
Data Structures implemented in Python, C and C++.
Notes, references, and materials about Differential Privacy that I found useful for my research. Recommendations are welcome.
Game Jam 2019: This is a 48 hour game making marathon, focused on design, mechanics, and clever ideas. The jam runs from August 2nd, at 8PM UK time, to August 4th, at 8PM UK time.
Experimental analysis based on the work develop by Davidson et al. 2017. on "Automated Hate Speech Detection and the Problem of Offensive Language."
Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.
IBM-Generative-AI is a Python library built on IBM's large language model REST interface to seamlessly integrate and extend this service in Python programs.
A framework for few-shot evaluation of language models.
Evaluating the Lorenz Attractor using Runge-Kutta, Predictor-Corrector and Euler methods.
Machine Learning college projects. Project I: Statistical Learning application. Project II: Deep Learning application using CNNs. Final Project: Biological Sequence Analysis using Profile HMM.
Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.
Mathematical models in population biology. Repo for my 'Population Dynamics' college assignment.
Implementations for Singular Value Decomposition Algorithms and eigenvalues calculation. Implementations using Julia lang.
Algorithms used in classes. Numerical methods for ordinary differential equations.
URI, UVA, SPOJ. Problems solved, submitted and accepted in online judges.
Frontend application created using react, for a video stream using OpenCV and a Flask web server.
Uma classe LaTeX para dissertações, teses e propostas do Programa de Pós-Graduação em Ciência da Computação (PPGCC) da Universidade Federal de Minas Gerais (UFMG).
Pre print for my poster session at NeurIPS 2019.
Probabilistic genotyping software (PGS) is used in criminal investigations to help link a genetic sample — such as a sample from crime-scene evidence — to a person of interest (POI).
Kaggle Competition. Dataset Analysis, Model evaluation using lgbm. Flask REST API for model prediction.
The Simplex method is an approach to solving linear programming models by hand using slack and pivot variables, also tableaus as a means to finding the optimal solution of an optimization problem. The current implementation uses python language.
Friendly beginner Titanic dataset analysis, used on Guided Project available on Coursera.